Official agent skill

Preset

by microsoft in microsoft/GitHub-Copilot-for-Azure

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions.

OfficialMITAuto-check passedDevOps & Cloud

Install Preset

skills CLI

$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install microsoft/GitHub-Copilot-for-Azure preset --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset .claude/skills/preset && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "preset" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset into .claude/skills/preset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preset", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install microsoft/GitHub-Copilot-for-Azure preset --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset .agents/skills/preset && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "preset" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset into .agents/skills/preset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preset", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install microsoft/GitHub-Copilot-for-Azure preset --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset .cursor/skills/preset && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "preset" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset into .cursor/skills/preset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preset", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/microsoft/GitHub-Copilot-for-Azure.git --path plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install microsoft/GitHub-Copilot-for-Azure preset --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset .gemini/skills/preset && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "preset" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset into .gemini/skills/preset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preset", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install microsoft/GitHub-Copilot-for-Azure preset

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset .github/skills/preset && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "preset" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset into .github/skills/preset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preset", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install microsoft/GitHub-Copilot-for-Azure preset --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-Azure.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset .opencode/skills/preset && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "preset" agent skill from https://github.com/microsoft/GitHub-Copilot-for-Azure/tree/main/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset into .opencode/skills/preset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preset", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: preset
GitHub stars: 255
Used in: 2 other repos
Token cost: ~1.2k tokens
SKILL.md length: 407 words
Files: 4 (incl. references)
Skills in repo: 56
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions.

Works in 7 steps: Verifies Azure authentication and… → Checks capacity in current project's… → If no capacity: analyzes all regions and… → …
: quick deployment
SKILL.md covers What This Skill Does, Prerequisites, Quick Workflow and Deployment Phases, plus 4 more sections
Calls az

What it does

Preset is an agent skill from microsoft/GitHub-Copilot-for-Azure, published by the product's own GitHub organization. Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `EXAMPLES.md`, `references/preset-workflow.md` and `references/workflow.md`).

It sits in DevOps & Cloud, covering Deployment and Backup and disaster recovery. It works with Microsoft Azure and Azure OpenAI. The repository describes itself as: GitHub Copilot for Azure. The licence is MIT.

When your agent uses it

: quick deployment
Automatic region selection
Multi-region capacity check
High availability deployment

Example prompts

“/preset”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

Verifies Azure authentication and project scope
Checks capacity in current project's region
If no capacity: analyzes all regions and shows available alternatives
Filters projects by selected region
Supports creating new projects if needed
Deploys model with GlobalStandard SKU
Monitors deployment progress

What it can do on your machine

Read from SKILL.md and the folder at commit fcf2f3b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- az
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use az, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Preset loads about 1.2k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 138 tokens; SKILL.md has 407 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~138
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~8.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from microsoft/GitHub-Copilot-for-Azure at commit fcf2f3b, republished under its MIT licence (© microsoft). 407 words, ~1,233 tokens.

Download SKILL.mdSave it as .claude/skills/preset/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: preset
description: Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
license: MIT
metadata.author: Microsoft
metadata.version: 1.0.1

Deploy Model to Optimal Region

Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.

What This Skill Does

Verifies Azure authentication and project scope
Checks capacity in current project's region
If no capacity: analyzes all regions and shows available alternatives
Filters projects by selected region
Supports creating new projects if needed
Deploys model with GlobalStandard SKU
Monitors deployment progress

Prerequisites

Azure CLI installed and configured
Active Azure subscription with Cognitive Services read/create permissions
Microsoft Foundry project resource ID (PROJECT_RESOURCE_ID env var or provided interactively)
- Format: /subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}
- Found in: Microsoft Foundry portal → Project → Overview → Resource ID

Quick Workflow

Fast Path (Current Region Has Capacity)

1. Check authentication → 2. Get project → 3. Check current region capacity
→ 4. Deploy immediately

Alternative Region Path (No Capacity)

1. Check authentication → 2. Get project → 3. Check current region (no capacity)
→ 4. Query all regions → 5. Show alternatives → 6. Select region + project
→ 7. Deploy

Deployment Phases

Phase	Action	Key Commands
1. Verify Auth	Check Azure CLI login and subscription	`az account show`, `az login`
2. Get Project	Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists	`az cognitiveservices account show`
3. Get Model	List available models, user selects model + version	`az cognitiveservices account list-models`
4. Check Current Region	Query capacity using GlobalStandard SKU	`az rest --method GET .../modelCapacities`
5. Multi-Region Query	If no local capacity, query all regions	Same capacity API without location filter
6. Select Region + Project	User picks region; find or create project	`az cognitiveservices account list`, `az cognitiveservices account create`
7. Deploy	Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment	`az cognitiveservices account deployment create`

For detailed step-by-step instructions, see workflow reference.

Show full SKILL.md (161 more words)Show less

Error Handling

Error	Symptom	Resolution
Auth failure	`az account show` returns error	Run `az login` then `az account set --subscription <id>`
No quota	All regions show 0 capacity	Defer to the quota skill for increase requests and troubleshooting; check existing deployments; try alternative models
Model not found	Empty capacity list	Verify model name with `az cognitiveservices account list-models`; check case sensitivity
Name conflict	"deployment already exists"	Append suffix to deployment name (handled automatically by `generate_deployment_name` script)
Region unavailable	Region doesn't support model	Select a different region from the available list
Permission denied	"Forbidden" or "Unauthorized"	Verify Cognitive Services Contributor role: `az role assignment list --assignee <user>`

Advanced Usage

bash

# Custom capacity
az cognitiveservices account deployment create ... --sku-capacity <value>

# Check deployment status
az cognitiveservices account deployment show --name <acct> --resource-group <rg> --deployment-name <name> --query "{Status:properties.provisioningState}"

# Delete deployment
az cognitiveservices account deployment delete --name <acct> --resource-group <rg> --deployment-name <name>

Notes

SKU: GlobalStandard only — API Version: 2024-10-01 (GA stable)

microsoft-foundry - Parent skill for Microsoft Foundry operations
quota — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill
azure-quick-review - Review Azure resources for compliance
cost-estimation - Estimate costs through the separately installed azure-cost plugin
azure-validate - Validate Azure infrastructure before deployment

Files

SKILL.md and 3 other files (references) in plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset of microsoft/GitHub-Copilot-for-Azure.

SKILL.md
EXAMPLES.md
references/preset-workflow.md
references/workflow.md

Open the folder on GitHubat commit fcf2f3b

Used in 4 other repositories

We found 10 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in microsoft/GitHub-Copilot-for-Azure, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Preset next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Preset compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Preset this skillmicrosoft/GitHub-Copilot-for-Azure	255	2 repos	~1.2k	Automated safety check: Pass	MIT	today
Azure AI Deploytimothywarner-org/claude-code	224	—	~731	Automated safety check: Notes	MIT	2 mo ago
Azure Resource Manager Mysql Dotnetmicrosoft/skills	3.1k	6 repos	~3.5k	Automated safety check: Pass	MIT	yesterday
Azure Resource Manager Postgresql Dotnetmicrosoft/skills	3.1k	6 repos	~4k	Automated safety check: Pass	MIT	yesterday
Azure Architecture Autopilotgithub/awesome-copilot	40k	1 repos	~1.9k	Automated safety check: Pass	MIT	today
Aspiremicrosoft/aspire.dev	196	4 repos	~1.1k	Automated safety check: Pass	MIT	today

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More from microsoft/GitHub-Copilot-for-Azure

All 56 skills in this repo

Capacity
microsoft/GitHub-Copilot-for-Azure
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Discovers available Azure OpenAI model capacity across regions and projects.
255 GitHub starsUsed in 2 repos~1.7k tokens
Auto-check passed
Deploy Model
microsoft/GitHub-Copilot-for-Azure
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Unified Azure OpenAI model deployment skill with intelligent intent-based routing.
255 GitHub starsUsed in 1 repo~1.8k tokens
Auto-check passed
Entra Agent Id
microsoft/GitHub-Copilot-for-Azure
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Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmipath, OBO, cross-tenant)…
255 GitHub starsUsed in 3 repos~4k tokens
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Microsoft Foundry
microsoft/GitHub-Copilot-for-Azure
Official
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end.
255 GitHub starsUsed in 1 repo~6.7k tokens
Auto-check passed
Azure Storage
microsoft/GitHub-Copilot-for-Azure
Official
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake.
255 GitHub starsUsed in 2 repos~1.3k tokens
Auto-check passed
Azure Quotas
microsoft/GitHub-Copilot-for-Azure
Official
Check/manage Azure quotas and usage across providers. An agent skill from microsoft/GitHub-Copilot-for-Azure.
255 GitHub starsUsed in 1 repo~3k tokens
Auto-check passed

Works with

Questions about Preset

What does Preset do?

Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Preset is an agent skill from microsoft/GitHub-Copilot-for-Azure, published by the product's own GitHub organization. Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions.

When should I use Preset?

Preset fits situations like: : quick deployment; automatic region selection; multi-region capacity check; high availability deployment.

How do I install Preset in Claude Code?

Run `npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a claude-code`. Or copy the skill folder (plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset in microsoft/GitHub-Copilot-for-Azure) into .claude/skills/preset in your project. Claude Code loads it when a task matches its description.

How do I install Preset in Codex?

Run `npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a codex`. Or copy the skill folder (plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset in microsoft/GitHub-Copilot-for-Azure) into .agents/skills/preset in your project. Codex loads it when a task matches its description.

Can I use Preset in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/GitHub-Copilot-for-Azure --skill preset -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/preset, .gemini/skills/preset, .github/skills/preset and .opencode/skills/preset in your project.

What does Preset need to run?

Going by SKILL.md and its folder, Preset needs the command-line tools its instructions call (az).

Does Preset access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Preset safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Preset use?

Preset is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Preset use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Preset?

Skills that share tags, products or a category with Preset: Azure AI Deploy (timothywarner-org/claude-code, 224 stars), Azure Resource Manager Mysql Dotnet (microsoft/skills, 3.1k stars), Azure Resource Manager Postgresql Dotnet (microsoft/skills, 3.1k stars) and Azure Architecture Autopilot (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Preset?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/GitHub-Copilot-for-Azure, which has 255 GitHub stars. The repository holds 56 skills in this directory. The repository was last updated on October 8, 2026.

Source: microsoft/GitHub-Copilot-for-Azure on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Preset

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Deploy Model to Optimal Region

What This Skill Does

Prerequisites

Quick Workflow

Fast Path (Current Region Has Capacity)

Alternative Region Path (No Capacity)

Deployment Phases

Error Handling

Advanced Usage

Notes

Related Skills

Files

Used in 4 other repositories

Compare with similar skills

Similar skills

More from microsoft/GitHub-Copilot-for-Azure

Related

Questions about Preset